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This model was trained with pythae. It can be downloaded or reloaded using the method load_from_hf_hub

>>> from pythae.models import AutoModel
>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_iwae")

Reproducibility

This trained model reproduces the results of Table 1 in [1].

Model Dataset Metric Obtained value Reference value
IWAE (n_samples=5) Binary MNIST NLL (5000 IS) 87.85 (0.01) 87.6
IWAE (n_samples=50) Binary MNIST NLL (5000 IS) 86.82 (0.01) 87.1

[1] Burda, Y. et al, Importance Weighted Autoencoders, ArXiv:1509.00519

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